Sr. Data Scientist (PPI)

Applied Systems, Inc; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Join an innovative firm at the forefront of the insurtech industry as a Senior Data Scientist. In this dynamic role, you'll develop and deploy scalable data science solutions that drive decision-making across a cloud-native insurance platform. Collaborating closely with engineering and product teams, you'll design models, run experiments, and deliver insights that support strategic initiatives. This is an exciting opportunity for someone who thrives at the intersection of business and data science, combining strong statistical modeling skills with a practical mindset. If you're ready to make an impact in a culture that values your contributions, this role is perfect for you.

Benefits

Medical Coverage

Dental Coverage

Vision Coverage

Holiday and Vacation Time

Health & Wellness Days

Bonus Day for Your Birthday

Qualifications

• 5+ years of experience in data science or machine learning roles.
• Strong Python programming experience with relevant libraries.
• Experience with insurance or financial data is preferred.

Responsibilities

• Develop and deploy predictive models and analytical solutions.
• Collaborate with teams to embed models into cloud-native applications.
• Translate business challenges into data science use cases.

Skills

Python

Statistical Modeling

Data Science

Machine Learning

SQL

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

scikit-learn

XGBoost

Pandas

Matplotlib

BigQuery

Vertex AI

AutoML

GCP

Job description

Job Overview

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.

Position Overview

We're seeking a Senior Data Scientist to develop and deploy scalable data science solutions that drive decision-making across our cloud-native insurance platform. You’ll work closely with engineering, architecture, and product teams to design models, run experiments, and deliver insights that support strategic initiatives across underwriting, distribution, and operations.

This role is ideal for someone who thrives at the intersection of business and data science—combining strong statistical modeling skills with a practical mindset for production-ready solutions.

What You’ll Do

• Develop and deploy predictive models and analytical solutions
• Build and automate pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
• Use AutoML tools where appropriate to accelerate experimentation and rapidly prototype solutions
• Collaborate with data engineering and DevOps teams to embed models into cloud-native applications and analytics platforms
• Support monitoring, retraining, and performance tuning of production models
• Partner with stakeholders to translate business challenges into data science use cases with measurable outcomes
• Maintain documentation and communicate insights clearly across technical and non-technical teams

We’re Excited to Learn More About You

Your experience should include some or all of the following:

• Experience with insurance or financial data is preferred for this role
• 5+ years of experience in data science or machine learning roles, ideally in a cloud-native environment
• Strong Python programming experience with libraries such as scikit-learn, XGBoost, Pandas, and Matplotlib
• Deep experience with SQL and analytical databases, especially BigQuery
• Hands-on experience using Vertex AI, BigQuery ML, AutoML, or equivalent ML tooling
• Familiarity with GCP services like BigQuery, Cloud Storage, Cloud Functions, and Pub/Sub
• Working knowledge of MLOps practices, including monitoring and pipeline orchestration
• Strong communication skills and the ability to deliver results in a cross-functional team
• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field

We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!

When You Join Team Applied, You Can Expect:

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:

• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• A Bonus Day for Your Birthday

Your Security Matters: Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

#LI-Remote